Introduction to Data Science in Python
Completed by Jesus De Abreu Romero
December 4, 2016
30 hours (approximately)
Jesus De Abreu Romero's account is verified. Coursera certifies their successful completion of Introduction to Data Science in Python
What you will learn
Understand techniques such as lambdas and manipulating csv files
Describe common Python functionality and features used for data science
Query DataFrame structures for cleaning and processing
Explain distributions, sampling, and t-tests
Skills you will gain
- Category: Data Science
- Category: Data Cleansing
- Category: NumPy
- Category: Scripting Languages
- Category: Pivot Tables And Charts
- Category: Data Import/Export
- Category: Data Processing
- Category: Data-Driven Decision-Making
- Category: Python Programming
- Category: Pandas (Python Package)
- Category: Data Manipulation
- Category: Probability & Statistics
